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Closed-Population Capture–Recapture Modeling of Samples Drawn One at a Time

Overview of attention for article published in Biometrics, October 2014
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1 X user

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31 Mendeley
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Article details
Title
Closed-Population Capture–Recapture Modeling of Samples Drawn One at a Time
Published in
Biometrics, October 2014
DOI 10.1111/biom.12241
Pubmed ID
Authors
Abstract

Motivated by field sampling of DNA fragments, we describe a general model for capture-recapture modeling of samples drawn one at a time in continuous-time. Our model is based on Poisson sampling where the sampling time may be unobserved. We show that previously described models correspond to partial likelihoods from our Poisson model and their use may be justified through arguments concerning S- and Bayes-ancillarity of discarded information. We demonstrate a further link to continuous-time capture-recapture models and explain observations that have been made about this class of models in terms of partial ancillarity. We illustrate application of our models using data from the European badger (Meles meles) in which genotyping of DNA fragments was subject to error.

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X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Austria 1 3%
Unknown 30 97%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 11 35%
Researcher 4 13%
Student > Bachelor 3 10%
Professor > Associate Professor 3 10%
Other 2 6%
Other 6 19%
Unknown 2 6%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 13 42%
Environmental Science 6 19%
Mathematics 4 13%
Psychology 2 6%
Biochemistry, Genetics and Molecular Biology 1 3%
Other 3 10%
Unknown 2 6%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 19 April 2021.
All research outputs
#16,699,002
of 24,558,777 outputs
Outputs from Biometrics
#1,326
of 1,931 outputs
Outputs of similar age
#154,314
of 261,085 outputs
Outputs of similar age from Biometrics
#10
of 18 outputs
Altmetric has tracked 24,558,777 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,931 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 22nd percentile – i.e., 22% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 261,085 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.